• DocumentCode
    1633448
  • Title

    Integration of fluctuating renewable energy — A German case study

  • Author

    Spiecker, S. ; Weber, C.

  • Author_Institution
    Dept. of Manage. Sci. & Energy Econ., Univ. Duisburg- Essen, Essen, Germany
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    With increasing amounts of power generation from intermittent sources like wind and solar, capacity planning has not only to account for the expected load variations but also for the stochastics of volatile power feed-in. Moreover investments in power generation are no longer centrally planned in deregulated power markets but rather decided on competitive grounds by individual power companies. This poses particular challenges when it comes to evaluating future electricity markets in large-scale systems like the European transmission system. Within this article an approach is presented which allows assessing electricity market development in the presence of stochastic power feed-in and endogenous investments of power plants and renewable energies. This model uses typical days and hours as well as recombining trees to represent both load and feed-in fluctuations. Four scenarios are presented covering 30 European countries and simultaneously optimizing generation investments and dispatch as well as utilization of transmission lines. Results are presented up to 2050.
  • Keywords
    investment; large-scale systems; load flow; optimisation; power generation dispatch; power generation economics; power generation planning; power markets; power transmission lines; renewable energy sources; stochastic processes; European transmission system; deregulated power markets; large-scale systems; load fluctuations; optimization; power companies; power generation dispatch; power generation planning; power plant investments; renewable energy integration; stochastic power feed-in; transmission lines; Biomass; Investments; Load modeling; Mathematical model; Power generation; Production; Stochastic processes; photovoltaic; power system economics; renewable energy integration; stochastic optimization; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039677
  • Filename
    6039677